As we march towards the age of “ubiquitous intelligence”, we note that AI and Machine learning are progressively moving from the Cloud to the Edge devices. The success of Edge-AI is pivoted on innovative circuits and hardware that can enable inference and limited learning, in hardware-constrained ultra-low-power (uW to mW) systems – an area of […]
Machine learning can be a powerful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this talk, we will explore opportunities and challenges in AI-for-climate, from optimizing electrical grids to monitoring crop yield, and how these impactful problems can also drive methodological innovations in machine learning.
We would like to have robots which can perform useful manipulation tasks in real-world environments. This requires robots that can perceive the world with both precision and semantic understanding, methods for communicating desired tasks to these systems, and closed loop visual feedback controllers for robustly executing manipulation tasks. This is hard to achieve with previous […]
Abstract A delicate balance of noncovalent interactions drives hydrated molecular amphiphiles to self-assemble into lyotropic liquid crystals (LLCs) of varied topologies, the exquisite nanodomain structures of which suggest applications as separations membranes, mesoporous materials synthesis templates, and therapeutic delivery vehicles. Based on hard sphere colloidal crystals, spherical micelles are intuitively expected to form high symmetry […]
Materials design in the quantum regime call for the integration of multi-tier materials information that go beyond atomic structures. Especially, many quantum behaviors are greatly controlled by local symmetries and local bonding environments. In this talk, motivated by Pauling’s rules, Dr. Yan will show that local bonding environments (motifs) can be incorporated in a graph-based […]
Today’s robots are very brittle in their intelligence. This follows from a legacy of industrial robotics where robots pick and place known parts repetitively. For humanoid robots to function as servants in the home and in hospitals they will need to demonstrate higher intelligence, and must be able to function in ways that go beyond […]
The exponential growth of biological datasets in recent years has increased the dependency of cancer research on AI and computational analysis. Cancer evolves through the accumulation of genetic events over time, which are represented through different types of data. Integration of machine learning methods with temporal modeling and genomic methods has the potential to improve our […]
*This will be a HYBRID Event with in-person attendance in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here. The prevalent approach to object manipulation is based on the availability of explicit 3D object models. By estimating the pose of such object models in a scene, a robot can readily reason about how […]
Abstract: Computational fluid dynamics simulations and experiments were conducted to study the performance of distillation membrane process for water treatment and desalination applications. Polarizations and fouling/scaling in a direct contact membrane distillation module were examined. Laminar and turbulent flow regimes in the feed and permeate channels were considered. The hydrophobic membrane separates feed and permeate […]
This year marks the 40th anniversary of Penn Engineering's diversity efforts and we invite you to join us on Friday, December 3, at 3:00 p.m. EST to celebrate Penn Engineering’s new Office of Diversity, Equity, and Inclusion (ODEI), formerly known as the Office of Minority Programs. We plan to meet in Heilmeier Hall (Towne 100) […]
